A deep neural network and Bayesian method based framework for all-terminal network reliability estimation considering degradation

Alex Davila-Frias, Nita Yodo, Trung Le, Om Prakash Yadav

Abstract: Highlights•Proposes all terminal network reliability considering degradation behavior.•Considers probability of failure of both nodes and links.•The Bayesian method is used to estimate reliability of links and nodes as functions of time.•The integration of Monte Carlo and Deep Neural Networks for faster reliability estimation.